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Paper Abstract and Keywords
Presentation 2013-03-07 16:40
What Does the Chirping Tell Us? Summarizing People's Opinion on Ongoing Events Using Tweets
Khan Muhammad Asif Hossain, Guangwen Liu, Masayuki Iwai, Kaoru Sezaki (Univ. of Tokyo) LOIS2012-87
Abstract (in Japanese) (See Japanese page) 
(in English) The growth and increasing spatial resolution of Twitter has made it a promising network for assessing people’s opinion regarding ongoing events in firsthand. However, while the richness of information content in Twitter is a boon for opinion miners, the huge traffic largely composed of insignificant chatter is a bane for them. In this paper, we propose a set of algorithms for filtering out tweets relevant to any ongoing event, which can serve as a real-time summary about people’s opinion regarding the event. Evaluation conducted on a real-world dataset shows that the proposed model could achieve impressive precision and recall in summarizing tweets regarding the target event.
Keyword (in Japanese) (See Japanese page) 
(in English) Microblog analysis / Social network analysis / Opinion mining / Short text analysis / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 466, LOIS2012-87, pp. 107-112, March 2013.
Paper # LOIS2012-87 
Date of Issue 2013-02-28 (LOIS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee LOIS  
Conference Date 2013-03-07 - 2013-03-08 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To LOIS 
Conference Code 2013-03-LOIS 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) What Does the Chirping Tell Us? Summarizing People's Opinion on Ongoing Events Using Tweets 
Sub Title (in English)  
Keyword(1) Microblog analysis  
Keyword(2) Social network analysis  
Keyword(3) Opinion mining  
Keyword(4) Short text analysis  
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Keyword(6)  
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1st Author's Name Khan Muhammad Asif Hossain  
1st Author's Affiliation The University of Tokyo (Univ. of Tokyo)
2nd Author's Name Guangwen Liu  
2nd Author's Affiliation The University of Tokyo (Univ. of Tokyo)
3rd Author's Name Masayuki Iwai  
3rd Author's Affiliation The University of Tokyo (Univ. of Tokyo)
4th Author's Name Kaoru Sezaki  
4th Author's Affiliation The University of Tokyo (Univ. of Tokyo)
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Speaker Author-1 
Date Time 2013-03-07 16:40:00 
Presentation Time 20 minutes 
Registration for LOIS 
Paper # LOIS2012-87 
Volume (vol) vol.112 
Number (no) no.466 
Page pp.107-112 
#Pages 6 
Date of Issue 2013-02-28 (LOIS) 

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